A Meta-Learning-Assisted Training Framework for Physical Layer Modeling in Optical Networks-Reference-Cited by-同舟云学术

A Meta-Learning-Assisted Training Framework for Physical Layer Modeling in Optical Networks

Published:2022-05-01 Issue:9 Volume:40 Page:2684-2695
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Liu Xiaomin¹,Lun Huazhi¹,Liu Lei¹,Zhang Yihao¹,Liu Yichen¹,Yi Lilin¹^ORCID,Hu Weisheng¹^ORCID,Zhuge Qunbi¹^ORCID

Affiliation:

1. State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Shanghai Rising-Star Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/9763567/09693269.pdf?arnumber=9693269

Reference45 articles.

1. Time varying ISI model for nonlinear interference noise

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3. Active vs Transfer Learning Approaches for QoT Estimation with Small Training Datasets

4. A Three-stage Training Framework for Customizing Link Models for Optical Networks

5. Lightpath QoT computation in optical networks assisted by transfer learning

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